The article introduces PolarDB IMCI’s native columnar full-text indexing for efficient, integrated text and hybrid vector search—eliminating the need for external search engines.
This article introduces PolarDB IMCI's native vector capabilities, which integrate vector indexing and embedding into the database kernel to simplify AI application development.
This article explains the key technology of subquery unnesting in In-memory column index (IMCI).
This article uses the join reorder of Polar DB MySQL In-Memory Column Index (IMCI) to describe the query optimization process of PolarDB HTAP.
This article describes the design of the basic components of the row-column fusion execution architecture of PolarDB.
In this article, we will show you the full steps of generating TPC-H data and running TPC-H 22 queries on PolarDB IMCI.
HTAP can help cut down your O&M, and PolarDB's In-Memory Column Index feature allows you to meet OLTP and OLAP requirements with one system.
